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20232026
most citedA Novel Approach for Auto-Formulation of Optimization Problems

3 citations · 5 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.AI2026

MathCoPilot: An Interactive System for Human-AI Symbiotic Paradigm of Mathematical Research

Junjie Zhang, Jiayu Liu, Wenbin Liu +11

Existing LLM-based theorem provers have achieved impressive results on formal mathematics benchmarks, yet they remain confined to acting as autonomous agents that prove a stated pr…

cs.AI2025

Verifying Large Language Models' Reasoning Paths via Correlation Matrix Rank

Jiayu Liu, Wei Dai, Zhenya Huang +2

Despite the strong reasoning ability of large language models~(LLMs), they are prone to errors and hallucinations. As a result, how to check their outputs effectively and efficient…

cs.AI2025

Foundation of Intelligence: Review of Math Word Problems from Human Cognition Perspective

Zhenya Huang, Jiayu Liu, Xin Lin +6

Math word problem (MWP) serves as a fundamental research topic in artificial intelligence (AI) dating back to 1960s. This research aims to advance the reasoning abilities of AI by…

cs.AI2024★ 1 cited

Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process

Tong Xiao, Jiayu Liu, Zhenya Huang +4

Geometry Problem Solving (GPS), which is a classic and challenging math problem, has attracted much attention in recent years. It requires a solver to comprehensively understand bo…

cs.AI2023

Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm

Jiatong Li, Qi Liu, Fei Wang +5

Personalized learner modeling using cognitive diagnosis (CD), which aims to model learners' cognitive states by diagnosing learner traits from behavioral data, is a fundamental yet…

cs.AI2023★ 1 cited

Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning

Jiayu Liu, Zhenya Huang, Chengxiang Zhai +1

Mathematical reasoning is one of the crucial abilities of general artificial intelligence, which requires machines to master mathematical logic and knowledge from solving problems.…